CN107808694A - The system and method for CP children locomotor activity is judged based on GMFCS - Google Patents

The system and method for CP children locomotor activity is judged based on GMFCS Download PDF

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CN107808694A
CN107808694A CN201610808995.3A CN201610808995A CN107808694A CN 107808694 A CN107808694 A CN 107808694A CN 201610808995 A CN201610808995 A CN 201610808995A CN 107808694 A CN107808694 A CN 107808694A
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children
sample entropy
gmfcs
lower extremity
locomotor activity
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CN107808694B (en
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杜文静
李慧慧
王磊
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Shenzhen Institute of Advanced Technology of CAS
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    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb

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Abstract

The present invention provides a kind of system and method that CP children locomotor activity is judged based on GMFCS, and methods described includes computer and receives the first ranked data of user's input and store;Electro physiology collecting device obtains the second Sample Entropy of the first sample entropy of the surface electromyogram signal of the left lower extremity of the CP children to be measured and the surface electromyogram signal of right lower extremity respectively, and sends the first sample entropy and second Sample Entropy to the computer;The computer shows comparative result after the size of the first sample entropy and second Sample Entropy;The computer receives the second ranked data of user's input after the comparative result of display is less than second Sample Entropy for the first sample entropy and stored.The system and method proposed by the present invention that CP children locomotor activity is judged based on GMFCS, by the way that GMFCS is combined to be classified to the locomotor activity of CP children with the Sample Entropy of the surface electromyogram signal of the lower limb of CP children, by increasing capacitance it is possible to increase the accuracy rate of classification.

Description

The system and method for CP children locomotor activity is judged based on GMFCS
Technical field
The present invention relates to the classification technique field of CP children locomotor activity, more particularly to a kind of GMFCS that is based on to judge brain The system and method for paralysed infant locomotor activity.
Background technology
Gross motor function hierarchy system (Gross Motor Function Classification System, GMFCS) it is the division to the progress of the gross motor function of patients with cerebral palsy different age group, mainly by 0~12 years old CP children Before being divided into 2 years old according to the age, 2~4 years old, 4~6 years old, 6~12 years old four age bracket, according to patient's row in each age bracket Walk ability and patient is divided into five grades of I, II, III, IV, V.Wherein, I levels represent unrestricted to walk, and complete It is limited in the acrobatics and tumblings of higher level;II levels represent to walk using assistive device, but in outdoor and community walking by Limit;III level represents to walk using the mobile apparatus of auxiliary, and walking is limited in outdoor and community;IV levels represent that itself is mobile restricted, Need to be transported or walked in outdoor and community using electronic mobile apparatus;V levels are represented even in using ancillary technique In the case of, itself movement still critical constraints.
What sample of signal entropy embodied is the complexity of signal, and sample entropy is bigger, and signal is more complicated.Come for CP children Say if the more serious muscle of lower limb nerve in the process of walking of lower limb intensity of anomaly, joint etc. need to coordinate limbs to enter as far as possible Row walking movement, and unusual motor pattern can be shown, the complexity of signal can increase.GMFCS (Gross at present MotorFunction Classification System) evaluation to infant locomotor activity this respect in grading scale evaluation It is relatively coarse according to the foundation need not need to be walked by apparatus and help as infant walking ability grade classification, for example, Walking is comparatively fast close to the walking for not needing apparatus, the patient that can be walked with independence normally in being evaluated according to GMFCS grading scales The grade of ability is more slowly identical also without the grade of the locomotor activity of the patient by apparatus with walking, still, this In the case of patient lower limb intensity of anomaly be often it is inconsistent, by these situations be divided into ad eundem be unfavorable for conditions of patients point Analysis and diagnosis.Therefore, it is classified against GMFCS judgment criteria, it is impossible to the walking function of infant is made and is more accurately classified.
The content of the invention
In order to solve the above problems, the present invention propose it is a kind of based on GMFCS judge CP children locomotor activity system and Method, by increasing capacitance it is possible to increase the accuracy rate of classification.
Concrete technical scheme proposed by the present invention is:A kind of side that CP children locomotor activity is judged based on GMFCS is provided Method, methods described include:
The first ranked data that computer receives user's input simultaneously stores, first ranked data be user according to Obtained from GMFCS is classified to the locomotor activity of CP children to be measured;
Electro physiology collecting device obtains the first sample of the surface electromyogram signal of the left lower extremity of the CP children to be measured respectively Second Sample Entropy of the surface electromyogram signal of this entropy and right lower extremity, and send the first sample entropy and second Sample Entropy to The computer;
The computer shows comparative result after the size of the first sample entropy and second Sample Entropy;
The computer receives use after the comparative result of display is less than second Sample Entropy for the first sample entropy Second ranked data of family input simultaneously stores, and second ranked data is for user according to GMFCS to the CP children to be measured Left lower extremity locomotor activity be classified obtained from.
Further, the computer is less than second Sample Entropy in the comparative result of display for the first sample entropy When, the ranked data of the locomotor activity of the right lower extremity of the CP children to be measured is the first ranked data.
Further, the computer is more than second Sample Entropy in the comparative result of display for the first sample entropy The 3rd ranked data of user's input is received afterwards and is stored, and the 3rd ranked data is for user according to GMFCS to described to be measured Obtained from the locomotor activity of the right lower extremity of CP children is classified.
Further, the computer is more than second Sample Entropy in the comparative result of display for the first sample entropy When, the ranked data of the locomotor activity of the left lower extremity of the CP children to be measured is the first ranked data.
Further, electro physiology collecting device obtains the surface electromyogram signal of the left lower extremity of the CP children to be measured respectively First sample entropy and the second Sample Entropy of surface electromyogram signal of right lower extremity include:
Gather the surface electromyogram signal of left lower extremity and the surface electromyogram signal of right lower extremity of the CP children to be measured;
Calculate the first sample entropy of surface electromyogram signal and the surface flesh of right lower extremity of the CP children left lower extremity to be measured Second Sample Entropy of electric signal.
Further, the surface electromyogram signal is gastrocnemius signal.
The present invention also provides a kind of system that CP children locomotor activity is judged based on GMFCS, including computer and electricity life Collecting device is managed, the computer includes memory module, comparison module and display module;The memory module is used to receive simultaneously The first ranked data of user's input is stored, first ranked data is row of the user according to GMFCS to CP children to be measured Walk obtained from ability is classified;Electro physiology collecting device is used for the table for obtaining the left lower extremity of the CP children to be measured respectively Second Sample Entropy of the first sample entropy of facial muscle electric signal and the surface electromyogram signal of right lower extremity, and by the first sample entropy and Second Sample Entropy is sent to the comparison module;The comparison module is used in the first sample entropy and described the Comparative result is sent into the display module after the size of two Sample Entropies to be shown;The memory module is additionally operable to showing Comparative result for the first sample entropy be less than second Sample Entropy after receive user input the second ranked data and deposit Storage, second ranked data are that user divides the locomotor activity of the left lower extremity of the CP children to be measured according to GMFCS Obtained from level.
Further, the memory module is additionally operable to comparative result in display and is more than described for the first sample entropy The 3rd ranked data of user's input is received after two Sample Entropies and is stored, the 3rd ranked data is user according to GMFCS pairs Obtained from the locomotor activity of the right lower extremity of the CP children to be measured is classified.
Further, the electro physiology collecting device includes:Signal gathering unit, for gathering the CP children to be measured The surface electromyogram signal of left lower extremity and the surface electromyogram signal of right lower extremity;Computing unit, suffer from for calculating the brain paralysis to be measured Second Sample Entropy of the first sample entropy of the surface electromyogram signal of youngster's left lower extremity and the surface electromyogram signal of right lower extremity.
The system and method proposed by the present invention that CP children locomotor activity is judged based on GMFCS, according to GMFCS to brain paralysis After the locomotor activity of infant lower limb is classified, then by judging the first sample of the surface electromyogram signal of lower limb on the left of CP children Whether the second Sample Entropy of the surface electromyogram signal of this entropy and right side lower limb is equal, and is not equal to institute in the first sample entropy When stating the second Sample Entropy, again according to GMFCS to the locomotor activity of the left side lower limb of CP children or the walking energy of right side lower limb Power is classified, therefore, by the way that GMFCS is combined come to brain paralysis with the Sample Entropy of the surface electromyogram signal of the lower limb of CP children The locomotor activity of infant is classified, and adds the accuracy rate of classification.
Brief description of the drawings
The following description carried out in conjunction with the accompanying drawings, above and other aspect, feature and the advantage of embodiments of the invention It will become clearer, in accompanying drawing:
Fig. 1 is the flow chart for the method that CP children locomotor activity is judged based on GMFCS;
Fig. 2 is the module diagram for the system that CP children locomotor activity is judged based on GMFCS.
Embodiment
Hereinafter, with reference to the accompanying drawings to embodiments of the invention are described in detail.However, it is possible to come in many different forms real Apply the present invention, and the specific embodiment of the invention that should not be construed as limited to illustrate here.Conversely, there is provided these implementations Example is in order to explain the principle and its practical application of the present invention, so that others skilled in the art are it will be appreciated that the present invention Various embodiments and be suitable for the various modifications of specific intended application.
Reference picture 1, the method that CP children locomotor activity is judged based on GMFCS that the present embodiment provides are included:
Computer receives the first ranked data of user's input and stored, and the first ranked data is user according to GMFCS pairs Obtained from the locomotor activity of CP children to be measured is classified;
Electro physiology collecting device obtains the first sample entropy of the surface electromyogram signal of the left lower extremity of CP children to be measured respectively With the second Sample Entropy of the surface electromyogram signal of right lower extremity, and first sample entropy and the second Sample Entropy are sent to computer;
Computer shows comparative result after the relatively size of first sample entropy and the second Sample Entropy;
Computer receives the second of user's input after the comparative result of display is less than the second Sample Entropy for first sample entropy Ranked data simultaneously stores, and the second ranked data is that user enters according to GMFCS to the locomotor activity of the left lower extremity of CP children to be measured Obtained from row classification.
Specifically, the stage division for the CP children locomotor activity based on GMFCS that the present embodiment provides includes following step Suddenly:
Step S1, computer receives the first ranked data of user's input and stored, the first ranked data be user according to Obtained from GMFCS is classified to the locomotor activity of CP children to be measured.
Wherein, step S1 specifically includes user and incited somebody to action corresponding to the age of CP children to be measured in age bracket according to GMFCS The locomotor activity of CP children to be measured is divided into I levels, II levels, III level, IV levels or V levels.For example, CP children to be measured can not Restricted walking, it is limited in the acrobatics and tumblings for completing higher level, then its locomotor activity is divided into I levels;Brain paralysis to be measured Infant need not be walked using assistive device, but walking is limited in outdoor and community, then its locomotor activity is divided into II Level;CP children to be measured is walked using the mobile apparatus of auxiliary, and walking is limited in outdoor and community, then draws its locomotor activity It is divided into III level;CP children to be measured itself is mobile restricted, it is necessary to be transported or use electronic shifter in outdoor and community Tool is walked, then its locomotor activity is divided into IV levels;CP children to be measured even in using in the case of ancillary technique, itself Mobile still critical constraints, then be divided into V levels by its locomotor activity.User obtains the level of the locomotor activity of CP children to be measured The first ranked data Ji be input in computer after the first ranked data, computer receives the first ranked data and simultaneously stored.
Step S2, electro physiology collecting device obtains the first of the surface electromyogram signal of the left lower extremity of CP children to be measured respectively Second Sample Entropy of the surface electromyogram signal of Sample Entropy and right lower extremity, and first sample entropy and the second Sample Entropy are sent to calculating Machine, step S2 are specifically included:
S21, collection the CP children to be measured surface electromyogram signal of left lower extremity and the surface electromyogram signal of right lower extremity;
S22, the first sample entropy of surface electromyogram signal and the surface flesh of right lower extremity for calculating CP children left lower extremity to be measured Second Sample Entropy of electric signal.
Step S3, computer shows comparative result after the relatively size of first sample entropy and the second Sample Entropy.
Specifically, comparative result can be represented with a comparison flag bit, for example, being equal to the second sample in first sample entropy During this entropy, it is 0 to compare flag bit, Computer display 0;When first sample entropy is more than the second Sample Entropy, it is 1 to compare flag bit, Computer display 1;When first sample entropy is less than the second Sample Entropy, it is 2 to compare flag bit, and Computer display 2, user is according to meter The size for the data that calculation machine is shown is it is known that the size of first sample entropy and the second Sample Entropy.
Step S4, computer receives user's input after the comparative result of display is less than the second Sample Entropy for first sample entropy The second ranked data and store, the second ranked data be user according to walkings of the GMFCS to the left lower extremity of CP children to be measured Obtained from ability is classified.
If specifically, in step s 4 the comparative result of Computer display be first sample entropy be less than the second Sample Entropy, User needs that the locomotor activity of the left lower extremity of CP children to be measured be classified again to obtain the second ranked data, its specific mistake Journey is similar with step S1, repeats no more here, and the ranked data of the locomotor activity of the right lower extremity of CP children to be measured is first point DBMS.If the comparative result of Computer display, which is first sample entropy, is more than the second Sample Entropy, user is needed to brain paralysis to be measured The locomotor activity of the right lower extremity of infant carries out classification again and obtains the 3rd ranked data, and its detailed process is similar with step S1, this In repeat no more, the ranked data of the locomotor activity of the left lower extremity of CP children to be measured is the first ranked data.For example, in step The first ranked data is II levels in S1, when first sample entropy is less than the second Sample Entropy, the row of the right lower extremity of CP children to be measured The ranked data for walking ability is II levels;User is carried out again according to GMFCS to the locomotor activity of the left lower extremity of CP children to be measured Classification;When first sample entropy is more than the second Sample Entropy, the ranked data of the locomotor activity of the left lower extremity of CP children to be measured is II levels;User is classified again according to GMFCS to the locomotor activity of the right lower extremity of CP children to be measured.
In addition, in step s 4, if the comparative result of Computer display, which is first sample entropy, is equal to the second Sample Entropy, The locomotor activity of the left lower extremity to CP children to be measured or right lower extremity it need not be classified again, now, CP children to be measured Left lower extremity and right lower extremity locomotor activity ranked data it is identical with the first ranked data respectively.
Reference picture 2, the present embodiment additionally provide a kind of system that CP children locomotor activity is judged based on GMFCS, and this is System includes computer 1, electro physiology collecting device 2.Computer 1 includes memory module 11, comparison module 12 and display module 13.
Specifically, memory module 11 is used for the first ranked data for receiving and storing user's input, wherein, the first classification number According to being user according to obtained from GMFCS is classified to the locomotor activity of CP children to be measured.Electro physiology collecting device 2 is used for The first sample entropy of the surface electromyogram signal of the left lower extremity of CP children to be measured and the surface electromyogram signal of right lower extremity are obtained respectively The second Sample Entropy, and first sample entropy and the second Sample Entropy are sent to comparison module 12.Comparison module 12 is used to compare First sample entropy is shown with comparative result is sent into display module 13 after the size of the second Sample Entropy.Memory module 11 is also The second ranked data of user's input is received for being less than in the comparative result of display for first sample entropy after the second Sample Entropy simultaneously Store and in the 3rd point that the comparative result of display is reception user's input after first sample entropy is more than the second Sample Entropy DBMS simultaneously stores, wherein, the second ranked data is locomotor activity of the user according to GMFCS to the left lower extremity of CP children to be measured Obtained from being classified, the 3rd ranked data is locomotor activity of the user according to GMFCS to the right lower extremity of CP children to be measured Obtained from being classified.
Electro physiology collecting device 2 includes signal gathering unit 21 and computing unit 22, and signal gathering unit 21 is used to adopt Collect the surface electromyogram signal of the left lower extremity of CP children to be measured and the surface electromyogram signal of right lower extremity, computing unit 22 is used to calculate Second sample of the first sample entropy of the surface electromyogram signal of CP children left lower extremity to be measured and the surface electromyogram signal of right lower extremity Entropy.
Described above is only the embodiment of the application, it is noted that for the ordinary skill people of the art For member, on the premise of the application principle is not departed from, some improvements and modifications can also be made, these improvements and modifications also should It is considered as the protection domain of the application.

Claims (9)

  1. A kind of 1. method that CP children locomotor activity is judged based on GMFCS, it is characterised in that methods described includes:
    Computer receives the first ranked data of user's input and stored, and first ranked data is user according to GMFCS pairs Obtained from the locomotor activity of CP children to be measured is classified;
    Electro physiology collecting device obtains the first sample entropy of the surface electromyogram signal of the left lower extremity of the CP children to be measured respectively With the second Sample Entropy of the surface electromyogram signal of right lower extremity, and the first sample entropy and second Sample Entropy are sent to described Computer;
    The computer shows comparative result after the size of the first sample entropy and second Sample Entropy;
    Computer reception user after the comparative result of display is less than second Sample Entropy for the first sample entropy is defeated The second ranked data for entering simultaneously stores, and second ranked data is a left side of the user according to GMFCS to the CP children to be measured Obtained from the locomotor activity of lower limb is classified.
  2. 2. the method according to claim 1 that CP children locomotor activity is judged based on GMFCS, it is characterised in that described Computer display comparative result for the first sample entropy be less than second Sample Entropy when, the CP children to be measured The ranked data of the locomotor activity of right lower extremity is the first ranked data.
  3. 3. the method according to claim 1 that CP children locomotor activity is judged based on GMFCS, it is characterised in that described Computer receives the 3rd of user's input after the comparative result of display is more than second Sample Entropy for the first sample entropy Ranked data simultaneously stores, and the 3rd ranked data is row of the user according to GMFCS to the right lower extremity of the CP children to be measured Walk obtained from ability is classified.
  4. 4. the method according to claim 3 that CP children locomotor activity is judged based on GMFCS, it is characterised in that described Computer display comparative result for the first sample entropy be more than second Sample Entropy when, the CP children to be measured The ranked data of the locomotor activity of left lower extremity is the first ranked data.
  5. 5. the method according to claim 1 that CP children locomotor activity is judged based on GMFCS, it is characterised in that electricity is raw Reason collecting device obtains the first sample entropy and right lower extremity of the surface electromyogram signal of the left lower extremity of the CP children to be measured respectively The second Sample Entropy of surface electromyogram signal include:
    Gather the surface electromyogram signal of left lower extremity and the surface electromyogram signal of right lower extremity of the CP children to be measured;
    Calculate the first sample entropy of the surface electromyogram signal of the CP children left lower extremity to be measured and the surface myoelectric letter of right lower extremity Number the second Sample Entropy.
  6. 6. the method that CP children locomotor activity is judged based on GMFCS according to any one of Claims 1 to 5, its feature It is, the surface electromyogram signal is gastrocnemius signal.
  7. 7. a kind of system that CP children locomotor activity is judged based on GMFCS, it is characterised in that adopted including computer and electro physiology Collect equipment, the computer includes memory module, comparison module and display module;
    The memory module is used for the first ranked data for receiving and storing user's input, and first ranked data is user's root Obtained from being classified according to GMFCS to the locomotor activity of CP children to be measured;
    Electro physiology collecting device is used for the first sample for obtaining the surface electromyogram signal of the left lower extremity of the CP children to be measured respectively Second Sample Entropy of the surface electromyogram signal of this entropy and right lower extremity, and the first sample entropy and second Sample Entropy are sent To the comparison module;
    The comparison module is used in the first sample entropy with sending out comparative result after the size of second Sample Entropy The display module is given to be shown;
    The memory module is additionally operable to be followed by less than second Sample Entropy for the first sample entropy in the comparative result of display Receive the second ranked data of user's input and store, second ranked data is for user according to GMFCS to the brain paralysis to be measured Obtained from the locomotor activity of the left lower extremity of infant is classified.
  8. 8. the system according to claim 7 that CP children locomotor activity is judged based on GMFCS, it is characterised in that described It is defeated that memory module is additionally operable to the reception user after the comparative result of display is more than second Sample Entropy for the first sample entropy The 3rd ranked data that enters simultaneously stores, and the 3rd ranked data is the right side of the user according to GMFCS to the CP children to be measured Obtained from the locomotor activity of lower limb is classified.
  9. 9. the system according to claim 7 that CP children locomotor activity is judged based on GMFCS, it is characterised in that described Electro physiology collecting device includes:
    Signal gathering unit, for gathering the surface electromyogram signal of left lower extremity and the surface of right lower extremity of the CP children to be measured Electromyographic signal;
    Computing unit, the first sample entropy and right lower extremity of the surface electromyogram signal for calculating the CP children left lower extremity to be measured Surface electromyogram signal the second Sample Entropy.
CN201610808995.3A 2016-09-08 2016-09-08 System and method for judging walking ability of cerebral palsy child patient based on GMFCS Active CN107808694B (en)

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